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Face Liveness Detection Using a Light Field Camera
A light field camera is a sensor that can record the directions as well as the colors of incident rays. This camera is widely utilized from 3D reconstruction to face and iris recognition. In this paper, we suggest a novel approach for defending spoofing face attacks, like printed 2D facial photos (h...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299023/ https://www.ncbi.nlm.nih.gov/pubmed/25436651 http://dx.doi.org/10.3390/s141222471 |
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author | Kim, Sooyeon Ban, Yuseok Lee, Sangyoun |
author_facet | Kim, Sooyeon Ban, Yuseok Lee, Sangyoun |
author_sort | Kim, Sooyeon |
collection | PubMed |
description | A light field camera is a sensor that can record the directions as well as the colors of incident rays. This camera is widely utilized from 3D reconstruction to face and iris recognition. In this paper, we suggest a novel approach for defending spoofing face attacks, like printed 2D facial photos (hereinafter 2D photos) and HD tablet images, using the light field camera. By viewing the raw light field photograph from a different standpoint, we extract two special features which cannot be obtained from the conventional camera. To verify the performance, we compose light field photograph databases and conduct experiments. Our proposed method achieves at least 94.78% accuracy or up to 99.36% accuracy under different types of spoofing attacks. |
format | Online Article Text |
id | pubmed-4299023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-42990232015-01-26 Face Liveness Detection Using a Light Field Camera Kim, Sooyeon Ban, Yuseok Lee, Sangyoun Sensors (Basel) Article A light field camera is a sensor that can record the directions as well as the colors of incident rays. This camera is widely utilized from 3D reconstruction to face and iris recognition. In this paper, we suggest a novel approach for defending spoofing face attacks, like printed 2D facial photos (hereinafter 2D photos) and HD tablet images, using the light field camera. By viewing the raw light field photograph from a different standpoint, we extract two special features which cannot be obtained from the conventional camera. To verify the performance, we compose light field photograph databases and conduct experiments. Our proposed method achieves at least 94.78% accuracy or up to 99.36% accuracy under different types of spoofing attacks. MDPI 2014-11-27 /pmc/articles/PMC4299023/ /pubmed/25436651 http://dx.doi.org/10.3390/s141222471 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kim, Sooyeon Ban, Yuseok Lee, Sangyoun Face Liveness Detection Using a Light Field Camera |
title | Face Liveness Detection Using a Light Field Camera |
title_full | Face Liveness Detection Using a Light Field Camera |
title_fullStr | Face Liveness Detection Using a Light Field Camera |
title_full_unstemmed | Face Liveness Detection Using a Light Field Camera |
title_short | Face Liveness Detection Using a Light Field Camera |
title_sort | face liveness detection using a light field camera |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299023/ https://www.ncbi.nlm.nih.gov/pubmed/25436651 http://dx.doi.org/10.3390/s141222471 |
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